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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Sensor-based fall detection systems: a review
Sheikh Nooruddin, Md. Milon Islam, Falguni Ahmed Sharna, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 5, pp. 2735-2751
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106060-106060
Open Access | Times Cited: 126
A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques
Sadik Kamel Gharghan, Huda Ali Hashim
Measurement (2024) Vol. 226, pp. 114186-114186
Closed Access | Times Cited: 15
A self-powered wearable sensor for infant fall detection based on triboelectric nanogenerator
Luoke Hu, Hui Meng, Zhonggui Xu, et al.
Applied Physics A (2025) Vol. 131, Iss. 3
Closed Access | Times Cited: 1
Surface Electromyography and Artificial Intelligence for Human Activity Recognition—A Systematic Review on Methods, Emerging Trends Applications, Challenges, and Future Implementation
Gundala Jhansi Rani, Mohammad Farukh Hashmi, Aditya Gupta
IEEE Access (2023) Vol. 11, pp. 105140-105169
Open Access | Times Cited: 25
Transformer-based fall detection in videos
Adrián Núñez-Marcos, Ignacio Arganda‐Carreras
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107937-107937
Open Access | Times Cited: 10
A hybrid CNN-LSTM model for involuntary fall detection using wrist-worn sensors
Xinyao Hu, Shiling Yu, Jihan Zheng, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103178-103178
Closed Access | Times Cited: 1
A Survey on Artificial Intelligence in Posture Recognition
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 137, Iss. 1, pp. 35-82
Open Access | Times Cited: 16
Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review
Jelena Bezold, Janina Krell‐Roesch, Tobias Eckert, et al.
European Review of Aging and Physical Activity (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 32
An Approach to Fall Detection Using Statistical Distributions of Thermal Signatures Obtained by a Stand-Alone Low-Resolution IR Array Sensor Device
Nishat Tasnim Newaz, Eisuke Hanada
Sensors (2025) Vol. 25, Iss. 2, pp. 504-504
Open Access
Revisiting sensor-based intelligent fall risk assessment for older people: A systematic review
Xiaoqun Yu, Yuqing Cai, Rong Yang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110176-110176
Closed Access
Predicting In‐Hospital Fall Risk Using Machine Learning With Real‐Time Location System and Electronic Medical Records
Dong Won Kim, Ji-Hoon Seo, Sujin Kwon, et al.
Journal of Cachexia Sarcopenia and Muscle (2025) Vol. 16, Iss. 1
Open Access
Gait Pattern Recognition Based on Plantar Pressure Signals and Acceleration Signals
Meiyan Zhang, Dan Liu, Qisong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-15
Closed Access | Times Cited: 19
Detection of important features and comparison of datasets for fall detection based on wrist-wearable devices
Jeong-Kyun Kim, Kangbok Lee, Sang Gi Hong
Expert Systems with Applications (2023) Vol. 234, pp. 121034-121034
Closed Access | Times Cited: 11
Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network
Lian Wu, Chao Huang, Lunke Fei, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 4, pp. 2179-2194
Closed Access | Times Cited: 11
Radar-Based Fall Detection: A Survey [Survey]
Shuting Hu, Siyang Cao, Nima Toosizadeh, et al.
IEEE Robotics & Automation Magazine (2024) Vol. 31, Iss. 3, pp. 170-185
Open Access | Times Cited: 3
A Novel Heuristic Fall-Detection Algorithm Based on Double Thresholding, Fuzzy Logic, and Wearable Motion Sensor Data
Billur Barshan, Mustafa Şahin Turan
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 20, pp. 17797-17812
Closed Access | Times Cited: 9
Empowering human–environment well‐being through wearable sensing: Unveiling trends and addressing gaps in the energy transition
Verônica Martins Gnecco, Ilaria Pigliautile, Anna Laura Pisello
Wiley Interdisciplinary Reviews Energy and Environment (2024) Vol. 13, Iss. 3
Closed Access | Times Cited: 3
Fall Detection Systems for Internet of Medical Things Based on Wearable Sensors: A Review
Zhiyuan Jiang, Mohammed A. A. Al‐qaness, Dalal AL-Alimi, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34797-34810
Closed Access | Times Cited: 3
Bluetooth-Low-Energy-Based Fall Detection and Warning System for Elderly People in Nursing Homes
Nick De Raeve, Adnan Shahid, Matthias de Schepper, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 15
Evaluating Active and Assisted Living technologies: Critical methodological reflections based on a longitudinal randomized controlled trial
Till Bieg, Cornelia Gerdenitsch, Isabel Schwaninger, et al.
Computers in Human Behavior (2022) Vol. 133, pp. 107249-107249
Closed Access | Times Cited: 14
A Novel Feature Set Extraction Based on Accelerometer Sensor Data for Improving the Fall Detection System
Hong-Lam Le, Duc-Nhan Nguyen, Thi-Hau Nguyen, et al.
Electronics (2022) Vol. 11, Iss. 7, pp. 1030-1030
Open Access | Times Cited: 14
A Three-Stage Low-Complexity Human Fall Detection Method Using IR-UWB Radar
Mengxia Chen, Zhaocheng Yang, Jialei Lai, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 15, pp. 15154-15168
Closed Access | Times Cited: 14
The Design and Engineering of a Fall and Near-Fall Detection Electronic Textile
Zahra Rahemtulla, Alexander P. Turner, Carlos Oliveira, et al.
Materials (2023) Vol. 16, Iss. 5, pp. 1920-1920
Open Access | Times Cited: 8
A review on fall detection systems in bathrooms: challenges and opportunities
E. Ramanujam, Thinagaran Perumal, K. Shankar
Multimedia Tools and Applications (2024) Vol. 83, Iss. 29, pp. 73477-73505
Closed Access | Times Cited: 2
Real-Time AI-Driven Fall Detection Method for Occupational Health and Safety
Anastasiya Danilenka, Piotr Sowiński, Kajetan Rachwał, et al.
Electronics (2023) Vol. 12, Iss. 20, pp. 4257-4257
Open Access | Times Cited: 6
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